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27 lines
954 B
Python
27 lines
954 B
Python
import modules.lora.network as network
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class ModuleTypeFull(network.ModuleType):
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def create_module(self, net: network.Network, weights: network.NetworkWeights):
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if all(x in weights.w for x in ["diff"]):
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return NetworkModuleFull(net, weights)
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return None
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class NetworkModuleFull(network.NetworkModule): # pylint: disable=abstract-method
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def __init__(self, net: network.Network, weights: network.NetworkWeights):
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super().__init__(net, weights)
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self.weight = weights.w.get("diff")
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self.ex_bias = weights.w.get("diff_b")
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def calc_updown(self, target):
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output_shape = self.weight.shape
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updown = self.weight.to(target.device, dtype=target.dtype)
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if self.ex_bias is not None:
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ex_bias = self.ex_bias.to(target.device, dtype=target.dtype)
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else:
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ex_bias = None
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return self.finalize_updown(updown, target, output_shape, ex_bias)
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